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Job Description Our client, a global asset management firm, is seeking a Junior DevOps Engineer to support their internet-facing infrastructure in a high-performance, technology-driven environment. Location: New York City (on-site) Experience: 1- 3 years in DevOps or SRE Language: Fluent English required (Mandarin not necessary) Work Authorization: Visa sponsorship available Key Responsibilities: * Build and maintain CI/CD pipelines * Automate infrastructure deployment and monitoring * Manage containerized environments using Docker/Kubernetes * Support cloud infrastructure (AWS, GCP, or similar) * Collaborate with development and engineering teams to ensure system reliability Tech Stack: Linux, Docker, Kubernetes, Python/Bash, Terraform, AWS/GCP, GitLab/Jenkins Qualified candidates with a strong DevOps foundation and interest in financial technology are encouraged to apply.

Job Description About the Role: The Data Manager / Business Data Lead plays a critical role in overseeing the organization's data strategy and ensuring the integrity, accuracy, and accessibility of business data across multiple departments. This position is responsible for leading data governance initiatives, managing data quality, and collaborating with cross-functional teams to align data management practices with business objectives. The role requires a strategic thinker who can translate complex data requirements into actionable plans and drive continuous improvement in data processes. The successful candidate will serve as a key liaison between technical teams and business stakeholders, ensuring that data solutions support decision-making and operational efficiency. Ultimately, this role aims to empower the organization with reliable data insights that foster informed business growth and innovation. Serve as the Fund’s day‑to‑day data workstream lead for the legacy‑to‑COPS 2.0 migration. Own data analysis, outside‑source cleansing, conversion oversight, stakeholder alignment, and delivery cadence with the System Integrator (SI), QA/OCM partner, and IV&V. Minimum Qualifications: • Current PMP certification., • 8+ years leading complex data migrations in regulated/public‑sector environments with Oracle (19c preferred)., • Demonstrated authorship of the named artifacts: Final Data Analysis Plan; Data Cleansing Approach/Directives; DCCAR; Data Conversion Plan; balancing & reconciliation strategies; automated comparison reports., • Hands‑on experience coordinating with SIs and working alongside QA/OCM and IV&V stakeholders., • Fluency with Jira or similar tools for decision/action/issue tracking; strong written status reporting skills., • Expert‑level PII handling discipline and readiness to operate under strict NDA/DSA requirements. Preferred Qualifications: • Bachelor’s degree in Data Science, Information Technology, Business Administration, or a related field., • Experience with business intelligence tools such as Tableau, Power BI, or similar platforms., • Familiarity with programming languages like SQL, Python, or R for data manipulation and analysis., • Experience working in the Professional, Scientific, and Technical Services industry or similar sectors., • Demonstrated leadership experience managing cross-functional teams and complex projects. • Author and maintain the Final Data Analysis Plan: reverse‑engineer business rules from legacy packages/procedures/functions; identify key data components, gaps, and quality issues; define validation techniques and tools., • Own cleansing for outside sources (e.g., NYC payroll management systems; internal Microsoft Access databases): develop the Data Cleansing Approach; publish Cleansing Directives; coordinate procedures, detailed scheduling, automation, and manual efforts as needed., • Produce the Data Cleansing/Conversion Audit Report (DCCAR) for each functional rollout, including problem statements, counts, default values and rationale, anomaly handling, fix types (manual/automated), before/after evidence, and benefits of fixes., • Oversee conversion approach and sign‑offs with the SI; author the comprehensive Data Conversion Plan (staging architecture; roles/responsibilities; balancing & reconciliation methods; test scripts; performance expectations; risk points; synchronization with PAS schedule; mini‑conversions/“bridging”; production run book)., • Establish and run the PM cadence: weekly status meetings; bi‑weekly written status with dashboard (schedule, quality, budget, risk), progress vs. plan, upcoming tasks, and mitigation actions; track decisions/action items in Jira., • Participate in PAS design sessions to inform/clarify data requirements and constraints; provide data leadership and change management support to business SMEs., • Enforce deliverable standards: cover with title/version/revision history; TOC (if >10 pages); headers/footers and page numbers; captions on tables/figures; draft→final flow; manage the 10‑business‑day review window and avoid “deliverable overload.”, • Coordinate with the Fund’s PMO, SI, QA/OCM, IV&V, and stakeholders; escalate risks through defined paths and drive issue resolution. Skills: The required and preferred skills are integral to the daily functions of the Data Manager / Business Data Lead. Strong data governance and quality management skills ensure that data is reliable and compliant with standards, which is essential for accurate business insights. Proficiency with database systems and ETL processes enables the candidate to manage and optimize data flows efficiently. Communication and stakeholder engagement skills are used daily to translate technical data concepts into business terms and to foster collaboration across departments. Additionally, familiarity with business intelligence tools and programming languages supports advanced data analysis and reporting, empowering the organization to make data-driven decisions.

Job Description Head of Engineering / VP of Engineering Location: New York City (Hybrid or On-site) Stage: Rapid-growth AI healthcare automation startup (30% MoM growth) Tech Stack: React, Python, TypeScript About the Company This venture-backed startup is transforming the infrastructure of U.S. healthcare using intelligent automation. They're building an AI-native system of action for provider operations — automating the most painful and error-prone back-office processes such as credentialing, licensing, and payer enrollment. These bottlenecks cost the healthcare system billions and delay patient care. The company is backed by top Silicon Valley investors and trusted by leading provider groups and health systems. This is a rare opportunity to join an elite team reimagining one of the most broken parts of healthcare — using cutting-edge AI in the real world, at scale. The Opportunity They're looking for a Head of Engineering / VP of Engineering to lead the build-out of their U.S. engineering organization in New York City. You'll partner closely with the CEO — a successful founder with a prior healthcare exit — and a technical lead in India to scale the company's AI automation platform across the healthcare ecosystem. You'll be both a strategic leader and a hands-on builder, comfortable translating product vision into scalable systems — and rolling up your sleeves when needed. What You'll Do • Build and lead the engineering organization in New York (first 10+ hires)., • Collaborate with product and business leadership to translate operational pain points into technical opportunities., • Work closely with the engineering team in India to align architecture, velocity, and quality., • Drive end-to-end delivery of intelligent automation products using React, Python, and TypeScript., • Establish best practices for CI/CD, testing, and scalability as the company continues to grow 30%+ month over month., • Remain technical and hands-on — able to dive into architecture, design, or code when needed., • Partner cross-functionally to ensure engineering is a business enabler, not just a service function. What You Bring • 8–12+ years of software engineering experience, including 3–5+ in a leadership capacity., • Experience scaling a team from early-stage (seed / Series A) through growth., • Strong technical foundation across React, Python, and TypeScript (AI/ML familiarity a plus)., • Track record of shipping complex, data-driven or automation-heavy products., • Deep empathy for product and user experience — you think in outcomes, not just features., • Exceptional communication and leadership skills; thrives in a fast-paced, startup environment. Why This Role • Work directly with a proven healthcare founder and a top-tier investor base., • Build a team and culture from the ground up in NYC., • Solve a massive, real-world problem at the intersection of healthcare, AI, and automation., • Competitive compensation, equity, and benefits package.

Job Description Site Reliability Engineer, Commodities Technology What you'll do Ensure high availability and uptime of Commodities Technology services and applications Automate and streamline manual processes Contribute to root cause analysis and post-mortem reports for production incidents Liaise with the business-facing application support, development, and infrastructure teams to establish proper tracking of requirements and priorities Monitor mission-critical systems to ensure service level objectives are met What's required Proven work experience as a site reliability engineer or similar role. Experience with Windows and Linux based operating systems, Cloud-based services and infrastructure (AWS), Infrastructure as Code (Terraform), and/or Configuration Management (Ansible) Experience with container technologies such asDocker, Kubernetes, AWS, EKS, and ECS Experience with observability tools such as DataDog Proficient in coding and scripting with Python, PowerShell with an ability to comprehend C# Self-motivated individual with great communication and interpersonal skills Commitment to the highest ethical standards

Job Description Book of the Month is looking for a highly organized Senior Data Analyst to facilitate data delivery and reporting across the business. Our user base generates millions of rows of data daily, and the Senior Data Analyst will play a critical role in the way the company uses this information to make business decisions. Working across teams, you will be facilitating the orderly delivery of reports, data, and training across all parts of our business - including finance, supply chain, operations, growth marketing, product, editorial, and member experience. About the Role: • Build and maintain a standard set of report-ready data cubes used for reporting and analysis across the company., • Document and cross-train how best to use our internal data sets to make effective analytical decisions., • Work closely with other teams such as Product, Marketing, Operations, and Finance to understand company reporting and prioritize the reporting roadmap., • Collaborate with the Product and Engineering teams to ensure new features and experiments can be effectively measured and reported on., • BS in a technical or analytical discipline and 2-5 years of experience in a Data or Analytics role., • Strong Technical Skills:, • Highly proficient in writing complex SQL queries to transform raw user action data into business data., • Experience building reports and dashboards in a BI tool., • Experience with an OLAP database, such as Amazon Redshift, Snowflake, or Google Big Query is essential., • Experience with Python, R, bash or similar scripting languages in a plus, • Strong critical thinking and problem-solving abilities. You are passionate about revealing hidden relationships and patterns., • Strong collaboration skills. You are excited to collaborate with teams across the company to plan and execute data-driven projects that help the company make better, smarter, and faster fact-based decisions. hBcGZ7gHxE

Job DescriptionAbout Us We are building the next generation of tax-advantaged separately managed accounts (SMAs) — a platform that fuses institutional-grade quantitative research, scalable technology, and hands-on client expertise. Our mission is to deliver hyper-personalized, tax-aware portfolios at scale. We're not looking for a “relationship manager.” We’re looking for an investment athlete who can sit at the intersection of clients, quants, and code — people who are fluent in markets, comfortable in Python, and credible in front of sophisticated allocators. The Role As a Senior Client Portfolio Manager (CPM), you’ll translate quantitative insights into client outcomes and answers. You’ll partner with portfolio managers, engineers, and customer success representatives, to customize portfolios, explain performance and risk, and help scale a platform that is redefining wealth management. This is a high-visibility role where you’ll be trusted to: • Engage directly with clients/advisors as an ambassador of the SMA platform., • Interpret portfolio data — exposures, tax trades, drift, risk — and explain in a way clients can act on., • Run analyses in Python (pull time series, diagnose factor exposures, validate tax trades, build quick diagnostic dashboards)., • Collaborate with research and engineering teams to translate client needs into features and workflow improvements., • Proactively monitor accounts for opportunities: tax-loss harvesting, transitions, customization, compliance with restrictions. What We're Looking For • 3+ years experience in asset management, wealth management, or investment consulting with direct client responsibility., • Strong command of equity markets, factor risk, and tax-aware investing., • Hands-on Python skills — you don’t need to be an engineer, but you must be able to slice data, run analyses, and speak the same language as quants and developers., • Ability to context-switch between technical deep dives and client-ready narratives., • Proven record of earning trust with sophisticated clients/advisors., • CFA charterholder, or equivalent advanced credential preferred. Why Join • Impact: Help define the future of tax-aware SMAs., • Exposure: Work alongside leading investment, quant, and fintech professionals., • Growth: Rapid career trajectory in a high-visibility, high-growth business.

Job Description We’re hiring Backend Engineers to join some of the most ambitious startups, including Basis, Conduit AI, Dashly, and Rilla. These teams are building distributed systems, data-heavy products, and reliable infrastructure at scale. Opportunities range from early-stage ventures where you’ll help shape the foundation, through to scaling companies solving global challenges. Roles cover Python, Go, Rust, Node.js, and more.

Job DescriptionCareer Renew is recruiting for one of its clients a Full Stack Engineer (AI) - DeFi - candidates need to be based in NYC (onsite role) or in the EST timezone (remote). Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Full Stack Engineer to join our AI team. Reporting directly to the Head of Product & AI you will play a critical role in working closely with our CEO and AI team to develop our AI product. Responsibilities: * Design and build fullstack systems for our AI crypto agent. * Develop scalable APIs and backend services to support agent workflows. * Build high-performance, user-facing interfaces to visualize agent reasoning and surface insights, as well as enable real-time interaction. * Collaborate with AI researchers to integrate and productionize agent logic. * Connect and manage data pipelines from crypto sources. * Implement testing, monitoring, and performance best practices. * Stay up to date with LLM frameworks, crypto trends, and fullstack tools. Requirements Experience with smart contracts, blockchain protocols, and/or DeFi systems. Highlight your Hands-on experience with LLMs and frameworks like LangChain or similar. (in production) Experience prompt engineering, tool use orchestration (MCP), and AI agent design Strong proficiency in Python (FastAPI), JavaScript/TypeScript, Node.js, and React.

Job Description About Us: The Community Preservation Corporation (CPC) believes stable and sustainable affordable housing is the foundation of strong communities and we strive to contribute to comprehensive neighborhood revitalization through our lending and partnerships. A nationally recognized leader in affordable housing finance, CPC has provided a consistent source of capital to underserved housing markets throughout New York State since our inception in 1974. Today, CPC stands as the largest CDFI solely committed to investing in multifamily housing, having invested more than $15 billion to finance the creation and preservation of more than 230,000 units of quality housing in neighborhoods across New York State and beyond. CPC has a robust construction lending platform, a mortgage bank, and equity and impact investment platforms that focus on our three goals: Expanding Affordable Housing, Closing the Racial Wealth Gap and Investing in the Green Economy. As a member of our team, you'll have the opportunity to work on impactful projects that make a real difference in people's lives. We're looking for talented individuals who are passionate about our mission and share our values of commitment, respect, excellence, accountability, and collaboration. Role Summary: As a Power BI & SQL Programmer, you play a key role in supporting and enhancing CPC’s Microsoft Power BI environment and Microsoft SQL Server database systems within an Azure environment. You’re responsible for the full lifecycle of report and database development—including SQL code creation, report building, testing, deployment, upgrades, and ongoing maintenance. Your day-to-day includes monitoring Power BI operations, creating and maintaining reporting tables, and ensuring optimal report performance. You bring advanced SQL programming skills to the table, writing complex queries, optimizing performance, and developing stored procedures and functions. You also implement both temporary and permanent bug fixes to maintain system reliability and data accuracy. This hands-on technical role is ideal if you thrive in a fast-paced environment and enjoy turning data into meaningful visualizations through Power BI dashboards and Paginated Reports that drive strategic decision-making. What You’ll Do: • Develop, implement and optimize stored procedures and functions using T-SQL, • Build appropriate and useful database tables and views, • Analyze existing SQL queries for performance improvements, • Develop procedures and scripts for data migration, • Create optimized datasets for Power BI and setup refresh schedules, • Build reports using Power BI Paginated Reports and create Power BI dashboards, • Build workflows for power automate to save reports as files on schedule, • Bachelor’s degree in Computer Science, Information Systems, or a related discipline required, • Minimum of 3+ years of dedicated experience with SQL programming Microsoft SQL Server in an enterprise environment, • Minimum of 3+ years of experience on Power BI building Paginated Reports and Power BI dashboards, • Experience with PowerShell and Python a plus., • Knowledge of windows platforms, security concepts, Active Directory Group Policy preferred., • Competitive compensation, • 401(k) retirement plans with employer match, • Medical, dental, and vision benefits for employees and their dependents, • Commuter benefits, • PTO for vacation, personal days, sick leave, holidays, jury duty, bereavement, parental leave, and disability, • Tuition assistance program, • Two “work from anywhere” weeks per year, • Summer Fridays, • Collaborative working spaces, • Service days to support our communities, • Employee development and engagement events, • More about our offerings and culture here This is a hybrid role where you will work from the Manhattan office two – three days a week. The salary range is $88,000 – $110,000, dependent on experience. The Community Preservation Corporation is an Equal Opportunity Employer and all employment-related decisions including recruitment, selection, evaluation, promotion, compensation, training and termination are made without regard to race, creed, color, national origin, sex, disability, marital status, status as a veteran, sexual orientation or gender identity, or any other protected status.

Job Description C++ Software Engineer – Real-Time Market Data & Trading Systems Location: Midtown Manhattan (Hybrid – 2 days/week) Overview: A leading technology-driven trading firm is seeking a C++ Software Engineer to join its Real-Time Market Data & Trading Systems team. This group builds performance-critical infrastructure for market connectivity and algorithmic execution. The role is ideal for a developer with a passion for low-latency systems and the desire to work at the intersection of engineering and high-frequency trading. Opportunities exist for technical ownership and future leadership. Core Responsibilities: • Develop and maintain ultra-low-latency, multi-threaded C++ applications, • Build and optimize real-time market data feed handlers and messaging infrastructure, • Contribute to algorithmic execution components and system-level enhancements, • Work with exchange protocols including socket-based APIs and FIX, • 3–10+ years of experience with C++ in high-performance environments, • Deep knowledge of multithreading, memory management, and socket programming, • Prior work on market data systems, trading platforms, or latency-sensitive infrastructure, • Proficient in Linux development environments, • Experience with FIX protocol and/or trading system architecture, • Python scripting familiarity is a plus

Job Description Our company is a Series B Startup with a valuation of over $300M. We are changing the way that workplace safety is seen in manufacturing, industrial, and any other workspace that can be dangerous. Over 2 million people are killed in the workplace yearly, and we are doing something about it! Our AI-powered software, powered by computer vision, predicts workplace accidents before they happen, saving countless lives and company materials. We are backed by 2 of the largest VC's in the world, and are creating a huge presence in the NYC Metro Area. We are looking for 2 senior C++ / Python low-latency Software Engineers with a proven history of working on real-time systems. Our product will attach to the safety cameras at our clients, and with the use of AI and Computer Vision, will alert of pending accidents before they happen. We are looking for Software Engineers with proven expertise in high-frequency / low-latency systems that care about saving lives. The company happens to be growing exponentially, and no end in sight. They will be staffing their NYC office (midtown) heavily. The role is hybrid (3 days per week) in their Midtown Office, pays approximately 200K, and is very team-oriented. This is an amazing ground-floor opportunity to be a huge asset to the firm at the beginning of their journey to becoming THE market leader in workplace safety!

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Description Role: Data Analyst Location New York Onsite from day one Long Term Contract Responsibilities - -Apply expertise in quantitative analysis and statistical analysis to formulate deep-level insights that help identify trends & opportunities to drive growth of our business, and measure impact. -Designs interconnected collections of high-performance visualizations that enable clear narrative understanding as well as deeper, interactive exploration. -Be a thought leader for data-informed initiatives and contribute to the team’s direction overall. -Conduct in-depth investigations leveraging large and complex data sets. -Partner with Project Managers, Data Science, Product teams to solve problems at scale. -Inform, influence, and execute new strategies and tactics using analysis and impact metrics. -Determines success metrics that measure short and long-term progress for both goal and project performance. -Build narrative around data quality and provide insights that will help in better annotation project performance opportunities. -Handle relational and non- relational databases, data frames and/or Business Intelligence development, performing data transformations and data manipulation. -Design and develop data solutions that help the team and leadership make data driven analytical decisions tailored to improve the business. -Leverage appropriate analytical techniques to draw conclusions from structured and unstructured data and answer exploratory and hypothesis-based questions that inform data-driven decisions. Minimum Qualifications - -Degree in Business Analytics, Engineering, or a related field and 5+ years of work experience in an analyst role. -Database querying language(SQL) and programming language (Python) for data processing, data analysis and analytics -Advanced Excel / Google Sheet experience -Perform quantitative and statistical analysis using advanced methodologies, including linear and logistic regression and forecasting models -Strong communication skills and ability to build relationships and influence stakeholders across functional boundaries and globally -Ability to make judgments under tight deadlines and competing priorities -Experience driving collaboration of cross-functional teams, coordinating effectively, and inspiring others -Experience communicating effectively via various formats, time zones and audiences, including within operations teams and across with key stakeholders and senior leadership

Job Description Senior Data Engineer $150k - $170k Company Description We are a leading cloud-based mobile patient intake and registration system. Our platform allows patients to complete their paperwork from the comfort of their own homes using their smartphones or computers, minimizing in-person contact and streamlining the check-in process. With our fully customizable patient scheduling, intake, and payment platform, you can maximize efficiency and minimize waiting room activity. Our patient engagement solution also syncs seamlessly with your EMR system to keep records updated in real-time. Role Description This is a full-time position for a Senior Data Engineer. As a Senior Data Engineer, you will be responsible for the day-to-day tasks associated with data engineering, including data modeling, ETL (Extract Transform Load), data warehousing, and data analytics. This is a hybrid role, with the majority of work located in the New York City office but with flexibility for some remote work. Qualifications • Data Engineering, Data Modeling, and ETL (Extract Transform Load) skills, • Data Warehousing and Data Analytics skills, • Experience with cloud-based data solutions, • Strong problem-solving and analytical skills, • Proficiency in programming languages such as Python, PySpark or Java, • Experience with SQL and database management systems, • Knowledge of healthcare data requirements and regulations is a plus, • Bachelor's degree in Computer Science, Engineering, or related field If interested, please send your resume to:

Job Description We are actively looking for Data Engineer for a permanent position. This exciting opportunity is with a well-established global IT service provider known for its excellence in the industry. Requirements Key responsibilities: • · Designing, building and maintaining data architectures, including databases and processing systems;, • · Acquiring and integrating new data sources;, • · Optimising data pipelines, automating processes where possible and planning for scalability;, • · Developing methods for identifying issues in data quality, reliability and efficiency;, • · Applying appropriate security controls to all relevant collections, databases and systems;, • · Maintaining documentation relating to the design and maintenance of data systems; and, • · Creating and maintaining the infrastructure and analytic tools to allow for efficient data extraction and transformation. Key skills and qualifications: • · Degree qualified in data science, computer science, statistics, information systems, or related disciplines;, • · Extensive experience with SQL, Python and R;, • · Experience or familiarity with Airflow, Spark, Hadoop, and PostgreSQL;, • · Experience with data modelling and ETL tools; About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at . Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Experts in programming languages such as Python & SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Experience with Alteryx (1+ Year), • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job DescriptionAbout Voyant: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Position Overview: We are seeking a highly motivated and self-driven Photonics Test Engineer to take ownership of test development and operations for our cutting-edge silicon photonics FMCW LiDAR technology. This is a hands-on role where you will develop and execute advanced test methodologies, ensure rigorous validation of our photonics devices, and work closely with a multidisciplinary engineering team. You will set a high standard for test execution, troubleshooting, and process improvements, leading by example through direct contributions and technical expertise. Key Responsibilities: * Develop and execute design verification tests, analyze results, and provide feedback to improve device performance. * Define and implement both die-level and wafer-level test solutions in collaboration with design, product, and packaging teams. * Develop production test solutions for silicon photonics components to ensure manufacturability and scalability. * Optimize and standardize test and analysis methodologies to improve repeatability and accuracy. * Bring up, manage, and operate automated wafer-level test (WLT) probers for silicon photonics devices. * Perform routine setup calibrations and ensure quality control in test processes. * Identify and mitigate test challenges, ensuring the execution of large-scale technical projects in a timely and efficient manner. Qualifications: * Education: Bachelor's, Master’s, or PhD in Electrical Engineering, Photonics, Optics, Physics, or a related field. * Experience: Minimum 2 years of hands-on lab experience testing silicon photonics devices or related photonics/optics components. * Technical Expertise: * Strong understanding of optical integrated circuit (PIC) design, testing, and its impact on product yield and performance. * Hands-on experience with optical test and measurement equipment (e.g., optical spectrum analyzers, power meters, interferometers, high-speed photodetectors) and optomechanical alignment tools. * Proficiency in Python for test automation, data analysis, and instrument control. * Knowledge of automated wafer-level testing (WLT) and test methodologies for silicon photonics. Practical experience in WLT is highly preferred. * Experience with fiber alignment automation or active alignment techniques. * Problem-Solving: Strong analytical and troubleshooting skills, with the ability to resolve complex system issues and propose corrective actions. * Communication & Collaboration: * Strong verbal and written communication skills to effectively convey complex test results, analysis, and technical insights. * Ability to work cross-functionally with design, manufacturing, and packaging teams. * Work Ethic & Adaptability: * Highly self-motivated and capable of managing multiple tasks with attention to detail. * Comfortable working in a fast-paced environment with evolving technical challenges. Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications. Responsibilities • Study and transform data science prototypes, • Design machine learning systems, • Research and implement appropriate ML algorithms and tools, • Develop machine learning applications according to requirements, • Select appropriate datasets and data representation methods, • Run machine learning tests and experiments, • Perform statistical analysis and fine-tuning using test results, • Train and retrain systems when necessary, • Extend existing ML libraries and frameworks, • Keep abreast of developments in the field Requirements • Proven experience as a Machine Learning Engineer or similar role, • Understanding of data structures, data modelling and software architecture, • Deep knowledge of math, probability, statistics and algorithms, • Ability to write robust code in Python, Java and R, • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn), • Excellent communication skills, • Ability to work in a team, • Outstanding analytical and problem-solving skills, • BSc in Computer Science, Mathematics or similar field; Master’s degree is a plus

Job Description • Design and implement highly scalable ELK (ElasticSearch, Logstash and Kibana) stack solutions, • Manage Elastic Stack as a shared service across on-prem and cloud, • Build java based applications (APIs) and web apps that leverage Elasticsearch., • Strong experience in query languages and writing complex queries with joins and aggregate that deals with large amount of data., • Create smart dashboards using Kibana, Vega, JChart etc.,, • Ability to perform data related benchmarking, performance analysis and tuning, • Build and manage DevOps automation using Ansible, Python scripts for ELK and Java services product stack., • Responsible for end to end Low level design, development, administration and delivery of ELK/Java solutions across the organization; closely work with Systems Integrator (SI) in an offshore/onsite model, • Responsible for leading ELK centre of excellence - Building common shared services, maintain common infrastructure and conduct ELK integration governance reviews including Java APIs/services and provide feedback to the application teams, • Work closely with Systems Integrator to manage a shared technology environment (ELK Infrastructure) and provide ELK integration services and provide SME support in production and non-production environments, • Work closely with the leads to realize solutions, periodic review of implementations and escalate issues

Job DescriptionProduct Data Scientist at Bask Health At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health Requirements Educational Background • Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field., • Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus.Experience, • 3+ years of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights., • Experience working with cross-functional teams, including product managers, engineers, and designers., • Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory.Technical Skills, • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis., • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar)., • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation., • Experience with A/B testing and designing experiments., • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus.Analytical Skills, • Ability to extract actionable insights from complex datasets., • Strong problem-solving skills and a keen sense of curiosity., • Experience applying machine learning techniques is a plus.Soft Skills, • Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders., • Strong project management skills, with the ability to prioritize tasks and meet deadlines., • Collaborative and proactive mindset.

Job Description Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics. In this role, you will have the opportunity to work on cutting-edge research in new and emerging fields. Responsibilities: • Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed., • Implement, train, and validate proposed algorithms for specific problem domains., • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities., • Collaborate with others in a multidisciplinary team environment to accomplish research goals., • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory., • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings., • PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques., • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods)., • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++., • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe., • Proven ability to undertake original research and communicate findings in peer-reviewed publications., • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionWho We Are At Amsive, we're more than just a performance marketing agency; we're a team that thrives on collaboration and innovation. We offer a supportive environment where personal growth is just as important as professional development. We're a team of passionate individuals ready to tackle challenges, learn from one another, and drive results. We believe in empowering our team members, providing them with the tools they need to succeed, and trusting them to lead the way. With decades of expertise and a commitment to integrated solutions, we don't meet the industry standard; we're setting it. If you're looking for a place where your work matters, a career path you can grow on your terms, and a team that's as invested in your success as you are, Amsive is for you. We offer a unique blend of flexibility, growth opportunities, and a culture that values each individual. Join us, and be part of the team ready to welcome, support, and grow with you. This is a REMOTE position. Candidates can be located anywhere in US time zones. Candidates will be required to work ET or CT time zone. New York Metropolitan area is a plus. What we are looking for: Amsive is looking for a Data Analyst, Marketing Services to join the team and drive the technical execution of marketing campaigns through advanced data analysis, coding, and technical expertise. This role involves leveraging PySpark notebooks and Spark SQL to analyze customer data, perform custom coding to support campaign needs, and ensure accurate data processes. The ideal candidate will combine strong analytical skills with technical proficiency to deliver actionable insights and support data-driven marketing strategies. What you will be doing: • Analyze and execute technical marketing campaign development using PySpark notebooks and Spark SQL., • Perform custom coding to address specific campaign and data analysis requirements., • Manage and analyze customer data, ensuring accuracy through master data management, identity resolution, and householding processes., • Develop actionable insights from large datasets to optimize marketing strategies., • Collaborate with internal digital marketing and data teams to align on campaign goals and data-driven decision-making., • Create automated reports, dashboards, and data visualizations to inform strategic decisions and communicate findings to managers and key stakeholders., • 1-4 years of experience in data analytics or development, • Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing, or a similar field., • Demonstrated experience using PySpark and Spark SQL to segment, manipulate, and analyze large datasets., • In-depth knowledge of customer data management principles, including master data management, identity resolution, and householding., • Hands-on experience with Microsoft Fabric or comparable cloud-native data platforms (e.g., Databricks, Synapse, AWS, GCP, Azure) used for scalable analytics and data engineering., • A proven track record of using custom coding to overcome complex data and analytical hurdles., • Excellent problem-solving and communication skills for effective collaboration with marketing and data teams., • Experience working with marketing campaign data, analysis, and customer segmentation is preferred., • Familiarity with marketing platforms (e.g., CRM, CDP, or DMP systems) is preferred., • Experience with or knowledge of source control systems such as Azure DevOps or Git is preferred., • Familiarity with data visualization tools such as Power BI or Python-based libraries (e.g., matplotlib, seaborn, plotly) for exploratory analysis and stakeholder reporting is preferred. If you need any assistance seeking a job opportunity at Amsive, or if you need reasonable accommodation with the application process, please call (331) 318-7800. Amsive is proud to be an Equal Opportunity Employer. We are committed to building a supportive and inclusive environment for all employees. It is Amsive’s continuing policy to provide equal employment opportunity and not to discriminate on the basis of race, color, religion, pregnancy or childbirth, marital status, national origin, ancestry or citizenship status, age, disability, sex, sexual orientation, gender identity, veteran status or any other characteristic protected by applicable federal, state or local laws. This policy applies to all aspects of employment, including (but not limited to) application for employment, recruiting, hiring, compensation, benefits, promotions and transfers, training, layoffs, rehires, termination of employment and all other terms and conditions of employment. As part of the Company's equal employment opportunity policy, Amsive will also take affirmative action as called for by applicable laws and Executive Orders to ensure that minority group individuals, females, disabled veterans, recently separated veterans, other protected veterans, Armed Forces service medal veterans, and qualified disabled persons are introduced into our workforce and considered for promotional opportunities. Powered by JazzHR 94aCuuSdqI

Job DescriptionAbout Nominal Nominal is building the software infrastructure powering the world’s most advanced hardware systems — from spacecraft and autonomous vehicles to next-generation industrial machines. Our platform ingests high-rate telemetry, validates complex autonomy software in real time, and enables engineers to iterate faster without sacrificing safety or precision. We’re a small, fast-moving team of engineers and operators who own problems end-to-end, work across disciplines, and thrive on challenges at the intersection of hardware and software. As a dual-use platform, we serve top-tier commercial and defense customers, including the U.S. Navy, United States Air Force, Shield AI, and Anduril. We’re backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed Ventures. Our team draws experience from SpaceX, Palantir, Anduril, Applied Intuition, and other leading companies — united by a common mission: enabling hardware engineers to push the boundaries of advanced technology with speed, safety, and precision. As a Cloud Infrastructure Engineer, you’ll optimize CI/CD pipelines, streamline developer workflows, and ensure consistent, reliable environments across cloud and on-prem systems. Your work directly accelerates product development, improves deployment reliability, and empowers engineers to move fast without sacrificing safety or precision. Key skills include AWS, Kubernetes, Infrastructure as Code, CI/CD, observability tools, and scripting in Bash, Python, or Go.\uD83D\uDE80 About the role • Empower engineering velocity: Ensure our growing engineering team can move quickly and safely by building and improving our DevOps and cloud infrastructure systems. You’ll focus on cloud infrastructure while having the flexibility to contribute to on-prem deployment systems or traditional software engineering., • Optimize and scale: Own the systems for deploying and managing cloud infrastructure, refining our CI/CD pipelines, and improving developer experience. Your work will directly enhance developer environment consistency, accelerate build times, and simplify service bootstrapping., • Manage tradeoffs: Understand the tensions between effort vs value, short-term vs long-term growth, and any others that may arise., • Solve & streamline: See an issue? You’re on it, with the autonomy to fix problems fast and keep our technology ahead of the curve.\uD83D\uDD0E We’re looking for someone with, • Proven engineering expertise: You’ve been in the trenches of software engineering (minimum of 4+ YOE), with firsthand experience developing, deploying, and monitoring infrastructure for high-scale distributed systems or complex tools., • Technical sharpshooter: Your intellectual curiosity drives you to solve complex problems. You think in systems and see the big picture, yet you’re all about nailing the details., • Dynamic leader & team player: With a mix of humility, eagerness to learn, and empathy, you’re a natural at leading and lifting those around you. You don’t just spot problems; you solve them., • Project maestro: You’ve got a solid track record in turning technical concepts into reality and managing the full cycle from planning to deployment., • Ability to travel 1-2 times a month to be on-site with our customers⚡ Skills that supercharge us, • AWS cloud infrastructure (required), Azure (nice-to-have)., • Kubernetes: Deploying, scaling, and troubleshooting applications., • CI/CD: Designing and building pipelines with GitHub Actions or similar., • Infrastructure as Code: Crossplane, Terraform, or similar., • Observability: Datadog, Prometheus (metrics collection, dashboarding, alerting)., • Scripting and development: Bash, Python, and/or Go✨ Benefits/Perks, • \uD83C\uDFE5 100% coverage of medical, dental, and vision insurance, • \uD83C\uDFD6️ Unlimited PTO and sick leave, • \uD83C\uDF7D️ Free lunch, snacks, and coffee, • \uD83D\uDE80 Professional Development Stipend

Job Description Senior AI Engineer (Healthcare) Location: New York City — On-site Employment Type: Full-time | Department: Engineering Compensation: $200,000–$350,000 + Equity Overview We're hiring a world-class Senior AI Engineer to build cutting-edge systems for an AI doctor platform. You'll design and deploy safety-critical, production AI that delivers diagnostic reasoning, chronic disease management, and seamless healthcare data processing—all with rigorous accuracy and clinical safeguards. What You'll Build Core AI Architecture * Multi-agent consensus: specialized models debate cases before reaching conclusions. * RAG at scale: pipelines ingesting thousands of clinical guidelines curated for LLMs. * Real-time inference: optimize latency and throughput for millions of daily consultations. * Domain workflows: custom reasoning chains for condition- and specialty-specific care. Clinical Data Systems * HIPAA-compliant NLP: extract structured data from patient conversations. * EHR connectivity: integrate with QHINs for automated retrieval/reconciliation. * Intelligent triage: route cases between AI and clinicians via complexity scoring. * Documentation: generate notes that conform to provider protocols and coding rules. Safety & Scale Infrastructure * Emergency detection with sub-second human escalation. * Validation layers targeting 99%+ plan accuracy vs. clinical standards. * Distributed systems for explosive peak loads and rapid user growth. * Fail-safes for regulated, critical-path decisions. You'll also tackle voice/video interfaces, multilingual medical NLP, predictive health modeling, and the platform foundation for the next billion patient interactions. Required Qualifications Education & Background * BS in CS (or equivalent experience). Hard-science degrees (Physics/Math/Engineering) welcome. * Startup DNA preferred: founding engineer, founder, or deep early-stage experience. * Proven self-direction with excellent cross-functional collaboration. Technical Expertise * 7+ years engineering; expert in LLMs and generative AI. * Deep experience with OpenAI GPT, Anthropic Claude, LLaMA, and other FMs. * Strong prompt engineering, fine-tuning, and model optimization in specialized domains. * Built real-time production AI systems. * Proficient in Python and TensorFlow/PyTorch; modern AI tooling. Preferred Qualifications * Healthcare/med-tech AI experience; familiarity with HL7, FHIR, clinical workflows. * Safety, bias detection, and fairness in medical AI. * Domain NLP research/implementation. * Worked with clinicians or in regulated environments. * Publications in AI/ML (healthcare/safety-critical a plus). * Seed/Series A startup experience. * Advanced degree in CS/AI/ML or related field. What We Offer * Competitive base + meaningful equity at a seed-stage company with top-tier investors. * Direct impact building AI that transforms care for millions of patients. * High autonomy and technical leadership, reporting to the CEO. * Access to cutting-edge models, tooling, and clinical advisors. * Collaboration with leading physicians and AI researchers. * Benefits reimbursement.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for an Associate Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with other data scientists, data engineers, and product managers to improve the logic and systems we use to rank providers and power our recommendations. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Build and maintain data-driven algorithms to improve provider recommendations and the member search experience., • Design data pipelines that model and enrich healthcare provider data., • Collaborate across product, engineering, and operations teams to solve open-ended business problems with data-driven solutions.What you will bring to the team:, • Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related STEM field., • Less than 1 year of professional experience in data science, analytics, finance, consulting, or product roles., • Proficiency in statistics, hypothesis testing, and exploratory data analysis., • Demonstrated ability to produce high-quality analytical work through internships, academic research, or personal projects., • Experience with Python or SQL, including use of common data science libraries (e.g. Pandas, NumPy, scikit-learn, and visualization tools such as Matplotlib or Plotly), is highly desirable.

Job DescriptionA major financial services company in NYC is growing its team rapidly, and they are looking for a Senior DevOps Engineer / Site Reliability Engineer who can join. If you’re passionate about high-availability, reliability, automation, we’d be excited to talk to you. Some technologies we are currently using: Linux, Docker, Terraform, Ansible, Java, Spring Boot, PostgreSQL, RabbitMQ, Keycloak, HAProxy, ELK Stack, InfluxDB, Telegraf, Grafana, Jenkins, Nexus, SonarQube, OpenVPN. Hope you’ll enjoy doing the following on a daily basis: • Documentation: Write specifications and documentation for the server-side features, • Development: Develop tools to help deploy and maintain our products., • Project planning: Share knowledge of possible configurations, risk, impact, and costs vs. benefits. Communicate operational requirements and development forecasts., • Testing: Test code, processes, and deployments to identify ways to streamline and minimize errors., • Deployment: Use configuration management software to automatically deploy updates and fixes into the production environment., • Maintenance and troubleshooting: Perform routine application maintenance to ensure the production environment runs smoothly. Develop maintenance requirements and procedures., • Performance management: Recommend performance enhancements by performing analysis, identifying alternative solutions, and assisting with modifications.Our team can get you up to speed if you have the fundamentals below:, • Have experience in Linux systems administration and understanding of how load balancers, web servers, databases, caching daemons, etc. work., • Have experience in shell scripting and one on more interpreted languages (ruby, python, Perl, etc), • Have excellent written and verbal communication skills., • Are pragmatic, iterative, and customer-driven., • Are organized, self-starting, and resourceful. You know how and when to ask for help., • Truly enjoy reduplicating work, automating processes, and improving the bus-factor whenever possible., • Are curious and desire to learn.

Job DescriptionCompany Description OUR STORY: Equinox Group is a high growth collective of the world's most influential, experiential, and differentiated lifestyle brands. We restlessly seek what is next for maximizing life - and boldly grow the lifestyle brands and experiences that define it. In addition to Equinox, our other brands, SoulCycle and Equinox Hotels are all recognized for inspiring and motivating members and employees to maximize life. Our portfolio of brands is recognized globally with locations within every major city across the United States in addition to London, Toronto, and Vancouver. OUR CODE: We are passionate about high performance living and we practice what we preach – investing time in our own health and fitness. We believe that everyone has untapped potential within them and it takes a disruptive approach to unleash it. We dream big and don’t settle for the status quo. We sweat the details. We never accept less than 110% to help each other deliver the Equinox experience and enable our members to get great results. We are obsessed with what’s new, what’s now, what’s next. Never following, always leading, and living ahead of the moment in fashion, culture, and consumer behavior. We aren’t just a company; we’re a community vested in each other’s success. We value humility and a team approach at every level of the company. If you are a high performing individual who is passionate about winning and inspiring others then we are excited to discuss career opportunities with you. Job Description • Liaise with technology partners to implement Data warehouse projects to perform data validation (testing) across them (Datawarehouse, ODS or data lake implementation), • Good exposure to ETL processes, schedulers and integration tools like Data power, • Expertise in working with multi-flavor data sources including RDBMS, NoSQL, Flat files ,csvs and Copybooks., • Implement data quality checks, validation rules, and alerting mechanisms to ensure trust in data, • Data flow testing and integration testing between different databases like sql server, redshift, POSTGRES, • Ability to work on multiple assignments simultaneously., • As a self-starter, proactively research and understand the latest-and-greatest technology in the database related area, • Contribute to and promote a culture of continuous improvement, mentoring peers and advocating for scalable and modern data practices, • Track and report on testing progress, quality metrics, and defect trends, providing insights and recommendations for continuous improvement., • Work closely with data engineers, developers, product managers, and other stakeholders to ensure alignment and seamless integration of testing efforts., • Lead a team of 5-6 test engineers, • Work with team on web and mobile app testingQualifications, • You have a bachelor’s/master’s degree in computer science, or related field, • You have 7+ years of experience in data testing and leading a team of data test engineers, • You possess strong knowledge in working with high volume transactional data, • You have expertise in SQL Server/ Redshift; 10 out of 10 SQL Ninja analytic capabilities, • You can extract information from multiple databases using complex query statements and advanced database tools, • You have hands-on experience working with POSTGRES sql, • You possess strong knowledge of Python, • You have experience with website and mobile app testing, • You have knowledge of agile development methodologies, • You have a problem-solving mindset and can organize, analyze, and disseminate medium to large amount of information with great attention to detail and accuracy from design to deployment, • You can effectively communicate with the team, leadership, and key stakeholders, • You have experience in managing and mentoring a team of technical professionals, • You have experience working with structured and semi-structured data (xml, json) THIS ROLE IS HYBRID – 4 DAYS ON SITE ONLY CANDIDATES LOCAL TO THE NYC METRO AREA WILL BE CONSIDERED Additional Information AS A MEMBER OF THE EQUINOX TEAM YOU WILL RECEIVE: • We offer competitive salary, benefits, and industry leading commission opportunities for club employees, • Complimentary Club membership Equinox is an equal opportunity employer. For more information regarding our career opportunities, please visit one of our clubs or our website at All your information will be kept confidential according to EEO guidelines. Must have a legal right to work in the United States.

Job Description Forward Deployed Engineer Full-time | On-site | New York, NY Compensation: $160K – $220K + Competitive Equity About the Role We’re looking for a Forward Deployed Engineer (FDE) who thrives where deep technology meets complex, real-world systems. You’ll work directly with customers to deploy intelligent software, integrate advanced AI solutions into enterprise environments, and turn field insights into the next generation of product capabilities. As an FDE, you’ll operate “at the edge”—building the first version of new products in collaboration with a single customer, iterating rapidly, and shaping the foundation for future deployments. Your work will directly inform engineering priorities and product strategy while delivering measurable impact to mission-critical organizations. Tech stack: Python, TypeScript, React What You’ll Do • Partner closely with enterprise clients to understand operational challenges and design tailored AI-powered solutions, • Deploy and integrate intelligent systems into customer workflows and data infrastructure, • Translate field experience into actionable feedback for the product and engineering teams, • Act as the technical liaison and trusted partner for client stakeholders, • Lead onboarding, training, and long-term adoption of deployed systems, • Contribute to architectural decisions and the evolution of core AI products What We’re Looking For • 4 + years of experience in software engineering, systems integration, or applied AI, • Proficiency with Python, TypeScript, and React, • Ability to collaborate with clients and communicate complex ideas clearly, • Self-directed builder comfortable with ambiguity and end-to-end ownership, • Excitement for deploying AI technologies in production, not just prototyping them, • Must be available on-site 5 days/week in the SoHo office Why Join • Build and deploy cutting-edge AI products directly with enterprise customers, • Work alongside engineers and operators from world-class technology companies, • Travel opportunities for high-impact implementations across industries, • Competitive salary + equity, • Comprehensive health, dental, and vision coverage, • Flexible PTO and meals provided daily in office, • MacBook Pro + AI tools + budget for productivity resources and laundry service

Job Description Job Summary We are seeking a highly skilled and self-directed User Experience Researcher with deep expertise in quantitative methods to support product development across messaging, notifications, and search experiences. This role is ideal for someone passionate about uncovering user needs and translating insights into actionable strategies that shape world-class digital products. The ideal candidate thrives in fast-paced environments, excels at managing multiple concurrent projects, and brings a sophisticated understanding of user behavior, machine learning systems, and survey-based research. Key Responsibilities Research Design & Execution • Lead custom research initiatives to uncover user needs and inform product strategy., • Design and conduct robust quantitative studies, particularly survey-based research, including sampling, data cleaning, analysis, and reporting., • Partner with engineers working on ranking systems and machine learning models to ensure research insights inform technical development., • Synthesize research findings into compelling narratives using presentations, reports, workshops, and other creative formats., • Work closely with researchers, designers, product managers, data scientists, marketers, and engineers across multiple teams., • Deliver high-quality insights under tight deadlines, maintaining agility across multiple projects., • Bachelor's degree in Human-Computer Interaction, Psychology, Business, Social Science, or a related field., • 8+ years of experience in product or user research., • Proven expertise in research design, survey development, and statistical analysis (e.g., linear/logistic regression, ANOVA, t-tests, Chi-square)., • Proficiency in data analysis tools such as Python (Jupyter), R, or SPSS., • Advanced knowledge of online survey platforms and data analysis tools., • Strong organizational skills with the ability to work independently and manage multiple projects., • Excellent communication and interpersonal skills., • Master's or PhD in Human-Computer Interaction, Psychology, Business, Social Science, or a related field., • 10+ years of experience in product/user research., • Advanced statistical expertise (e.g., Hierarchical Linear Modeling, Latent Factor Analysis)., • Demonstrated ability to lead impactful research programs that influence product strategy., • Experience in digital advertising, monetization, or related domains. Location: New York, NY (Onsite) Role type: Contract - 6 Month Position Expected hours: 40 per week Benefits: • Dental insurance, • Health insurance, • Health savings account, • Life insurance, • Paid time off, • Retirement plan, • 8 hour shift, • English (Required)

Job Description About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. Position Overview We are seeking a Senior Production Test Engineer to lead the development and implementation of scalable, high-throughput test infrastructure for both our silicon photonics wafer-level production and our integrated LiDAR sensor end-of-line (EOL) testing. You will be responsible for defining and executing test strategies at multiple stages of the manufacturing process—at the wafer level for photonic devices, and at the module/system level for LiDAR units. This is a highly cross-functional role working closely with Systems, Photonics, Electrical, Firmware, and Manufacturing Engineering teams to ensure performance, yield, and reliability from prototype to volume production. Key Responsibilities * Define and implement end-of-line test strategies for LiDAR sensors, validating system-level performance (range, velocity, reflectivity, etc.). * Lead the development of photonic wafer-level test (WLT) strategies and tooling in collaboration with photonic design and foundry partners. * Develop automated test fixtures and software to support both EOL and WLT in a production setting. * Translate lab-level validation methods into robust and scalable production tests across optical, electrical, and mixed-signal domains. * Partner with external contract manufacturers and test vendors to stand up and scale production test infrastructure; support factory bring-up and operator training. * Drive test coverage, throughput, and cost optimization in both low- and medium-volume manufacturing. * Lead root cause investigations for test failures across the stack and work cross-functionally to implement fixes. * Own and continuously improve statistical process control (SPC), yield tracking, and test data analytics across the production lifecycle. * Support reliability and environmental testing (e.g. thermal cycling, vibration, shock) for product qualification. Qualifications * Bachelor’s or Master’s degree in Electrical Engineering, Optical Engineering, Physics, or a related discipline. * 5+ years of experience in production test engineering with a focus on LiDAR systems, photonic components, or optical sensors. * Proven expertise in system-level testing for LiDAR, imaging, or other complex electromechanical/optical systems. * Hands-on experience developing and deploying automated test setups (Python preferred), including test instrumentation and DAQ systems. * Proven track record in statistical process control, yield analysis, and high-volume data-driven decision-making. * Demonstrated experience owning test strategy and implementation in a manufacturing or pilot-line environment. * Familiarity with test methodologies for photonic integrated circuits or optical wafers (e.g., wafer probing, passive/active alignment, coupling efficiency). * Experience interfacing with contract manufacturers and external test vendors. Preferred Skills * Experience with FMCW LiDAR or coherent optical systems. * Familiarity with photonic wafer-level test equipment and alignment automation. * Exposure to MES systems, manufacturing analytics platforms, or test data infrastructure. What We Offer * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious engineers as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • BSc. degree in Computer Science or related fields, • 3+ years of experience with Python, • 2+ years of experience with Go, Rust, or Scala, • 2+ years hands-on experience developing architectures with machine learning frameworks such as PyTorch, • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • MSc. degree in Computer Science or related fields, • Experience in Architecting Software Systems, • Experience Natural Language Understanding, Dialogue Systems, Semantic Parsing, Transfer Learning and learning with limited data, • Experience with building models in the commerce/retail domain Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job Description Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to something of true value in the real world? At Verneek, we are on a mission to build the most helpful AI that augments the knowledge of anyone, anywhere, at any time! As opposed to the mainstream, we believe that the way to bring domain-general AI to the masses is to apply it one domain at a time, through AIs with deep domain expertise. We were on this journey before it got the hottest thing on the face of the planet! Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future! If you are craving to learn something new every day while working at the cutting edge of AI, or if you are simply not satisfied with your academic AI ambitions anymore, Verneek could be a perfect opportunity for you: a deep-tech AI startup, where you'd get to learn, innovate, and leave your mark every single hour of every day. We are looking for a stellar & highly ambitious AI/NLP researcher as core employees to help build complex AI/NLP models supporting the Verneek AI platform! You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI platform. It is all much more rewarding and influential than working on beating AI benchmarks! :) Every day, you'll get to solve very unique, highly complex, and socially impactful problems. This is an early-stage startup, so we'll be moving super-fast and there will be no legacy obstacles on your way to make a significant impact. Whatever you do every hour of every day counts!! RESPONSIBILITIES MINIMUM QUALIFICATIONS • MSc. or PhD degree in AI/NLP, • 4+ years of experience with Python, • Good grasp of fundamentals and the state-of-the-art in AI/NLP research, • 4+ years experience developing models with machine learning frameworks such as PyTorch, • Work authorization in the USA at the time of hire, • Continuing work authorization during employment can be sponsored by Verneek PREFERRED QUALIFICATIONS • Experience in Natural Language Understanding, Semantic Parsing, Dialogue Systems, • Experience in Transfer Learning and learning with limited data, • Publications in top-tier AI venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, etc., • Demonstrated AI/NLP engineering skillset through having deployed largescale AI/NLP systems to production, • Experience in building models in the commerce/retail domain Benefits Stellar medical, dental, vision, disability, and life insurance Daily private Chef lunch, curated to personal diets Transportation Benefits 401K matching contributions Flexible PTO Visa/Green Card Sponsorship Career growth support through sponsoring learning opportunities and mentorship About Verneek Verneek is an early-stage deep-tech AI startup, based in the NYC area, founded by a team of leading AI research scientists and backed by a group of world-renowned business and scientific luminaries. Our mission is to build the most helpful AI for anyone, anywhere, at anytime. We are obsessed with what we do and we have fun doing it. Read more about verneek here: and make sure to watch all our introductory videos and yearly recaps here: . Verneek Culture It’s often hard to put “culture” into words, perhaps you can get a visual sense of our culture here: . We all obsessively love what we do, care about each other, share all sorts of meals together, celebrate all kinds of events together, and work tirelessly with the excitement of making a difference through AI innovation. We are enjoying the journey, and going through all the ups and downs together. Although we have come a very long way in setting the foundations of our unique company, but we still have ways to go and you can help shape our culture! The core Verneek team plays a crucial role in further shaping the culture of the company moving forward. We are looking for highly ambitious and tremendously driven individuals who can take the lead in driving various aspects of the company, and help us shape its lasting impact. Annual Salary Range: $40K-$200K

Job Description About Us: Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. Overview: Dataflows are the backbone of every successful trading firm. Every decision — from split-second trades to risk management to navigating new markets — relies on data moving quickly, accurately, and seamlessly. DV Trading is seeking an Operations Analyst who thrives on uncovering gaps, chasing down answers, and building robust data pipelines that tie everything together. You'll partner closely with the Director of Operations to design and manage the operational systems that power trading activity firmwide. Responsibilities: • Act as the right hand to the Director of Operations, working closely with traders, developers, risk managers and other teams to ensure critical data gets to the right place in a scalable, efficient manner., • Develop deep working knowledge of the trading, clearing and settlement of all asset classes traded at the firm (commodities, equities, fixed income, FX, crypto), • Own day-to-day operational processes: SOD/EOD position reconciliation, pricing & settlements, PnL calculations and reporting, and critical intraday monitoring, • Design a system of alerts, checks, and reconciliations that preserves data integrity, communicates breaks in real time, and prevents small issues from multiplying, • Understand all methods of trade execution across the firm and help architect a more efficient system for consuming fills and distributing position to traders, • Collaborate with developers to shape databases, trader tools, and position management GUIs, • Create precise processes to streamline onboarding of new traders, strategies, and products, • Perform stimulating data analysis on volumes, fees, margin financing, rebates, and Desk ROI. Connect insights to business opportunities, • Bachelor's Degree, • 2–5 years of experience in an analytical or operational role (finance or trading industry experience is a plus, but not required)., • Clear thinker with advanced aptitude for breaking down complex problems in a timely fashion in his/her own way, • Expertise in Excel, SQL required. Familiarity with Python, Bloomberg a plus., • Strong communication skills and ability to advance many simultaneous discussions forward, • Strong work ethic, desire to learn, and ability to remain calm and focused in a fast paced, high-pressure environment, • Independent and resourceful - willingness to take on challenges, dive in the weeds, and figure out solutions Benefits: • Discretionary bonus eligibility, • Medical, dental, and vision insurance, • HSA, FSA, and Dependent Care options, • Employer Paid Group Term Life and AD&D Insurance, • Voluntary LTD, Life & AD&D insurance, • Flexible vacation policy, • Retirement plan with employer match, • Paid parental leave, • Wellness Programs Annual compensation range: $110 – 130K base + Discretionary Bonus DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Job DescriptionRole: Senior Quantitative AnalystRole DescriptionThe Market Data Solution (MDS) and Risk Master (RM) businesses are seeking a high caliber candidate to join as a Senior Quantitative analyst their Mumbai office. This is a high-profile role which requires strong modelling skills coupled with a strong commercial awareness and excellent communication skills. Knowledge of market data processes or data modelling would be very useful but is not essential.Reporting to the Business Owner for MDS and RM, the key responsibilities are as follows • Develop APIs to for both open source and bank in-house quantitative libraries and market risk engines for both calibration as well as valuation use cases, e.g., • Zero Curve Calibration / Bootstrapping, • Hull White Model Calibration, • Put-Call Parity Analysis on Market Vol Data, • SABR Model Calibration, • Cubic Spline Interpolated Zero Rates, • Credit Curve (Survival Probabilities) Calibration / Bootstrapping, • Risk Factor de-composition: Regression of NonModellable Z-Spread Risk Factor on comparable Modellable Z-Spread Risk Factors to determine Modellable Explained and NonModellable Unexplained Risk Factors, • PCA for Curve Validation, • FX Stochastic Volatility Model: Heston implementationThe role involves the integration of these APIs into the GoldenSource data model. To do this effectively the successful candidate will need to understand these models in the quant or market risk libraries, • Work with the development and pre-sales teams to prototype solutions for Market Risk and FRTB Use cases, e.g., • FRTB Risk Factor Eligibility Test, • Shock generation for Equity Vol Smile using gap filling, • Reconstruction of Equity Index time-series using proxy weightings, • Aggregation of risk sensitivities in Risk Warehouse for the standardized approachTo be considered for this role you will need to have the following:, • MSc or PhD in Financial Mathematics, Mathematics or Physics or equivalent work experience, • Strong Knowledge of option pricing theory and financial mathematic, • Experience in a quantitative role for interest rates, FX or equities gained in an investment bank, • Experience in model’s development, programming and maintenance of model’s libraries, • Knowledge of derivatives products, • Strong programming skills in Python, • Good data modelling skills including some experience with RDMS, • Strong Excel, • Knowledge of Hadoop or Java would be good but not essential, • Prior experience of Open Gamma Strata or QuantLib would be good but not essentialYou will also need strong communication skills and the ability to articulate complex problems and solutions to all audiences. In addition, you should enjoy working in a fast-paced environment and be able to work to tight timescales. Excellent analytical skills with a strong focus on accuracy of information coupled with determination are also desirable skills.

Job Description JOB DESCRIPTION: The Senior Data Analyst supports the Quality Improvement & Impact department’s mission to empower program staff with data-driven insights that improve service delivery and client outcomes. The Senior Data Analyst, who also supervises a Data Analyst on the team, holds responsibilities across a range of activities including performance measurement and monitoring, quality improvement initiatives, database management, data collection tool development, evaluation activities, and organizational learning. The Senior Data Analyst will collaborate closely with frontline program staff to define key program metrics, create impactful visualizations and reports that monitor performance, conduct trainings on the use of data tools, and facilitate discussions on the use of data for performance improvement. ESSENTIAL JOB FUNCTIONS: • Collaborate with program and administrative staff on the design, development, and maintenance of interactive Power BI dashboards, reports, and visualizations that monitor and track key performance indicators (KPIs), client outcomes, and service utilization, ensuring that staff have access to the information they need to make decisions., • Conduct in-depth analyses to identify trends, patterns, and insights that inform program improvement, program planning, as well as to support grant/funder reporting., • Prepare and present data findings to various audiences, including program staff, management, and other stakeholders, in a clear and concise manner., • Develop and implement data quality tools and processes to ensure data accuracy and integrity., • Provide training, technical assistance, and other ongoing support to program staff on the use of data analysis tools, report interpretation, and data quality/data integrity processes, including the developing of training materials, user guides, and other resources as needed., • Contribute to the development, implementation, and management of quality improvement plans and strategies., • Use querying tools (e.g., Power Query, SQL) to develop and maintain data models and base queries used across the department for recurring data monitoring reports and dashboards in Power BI to meet various needs, such as consumer demographics, program services, clinical performance, and billing., • Support the administration and analysis of consumer feedback surveys and focus groups, to evaluate quality of services/operations, and identify opportunities for improvement., • Develop and maintain data dictionaries and documentation related to data governance., • Provide direct supervision to one or more Data Analysts., • Organized, timely, task-oriented, self-motivated, and proactive, • Effective verbal and written communication skills, • Attention to detail and strong research skills, • Knowledge of Microsoft Office Suite (Word, Excel, PowerPoint), • Ability to work with diverse colleagues and communities, • Bachelor’s degree in a relevant field (e.g., Public Health, Data Science, Statistics, Biostatistics, Social Sciences). Master’s degree preferred., • Strong knowledge and technical skills, • Experience working with program staff in a direct service environment, preferably in a nonprofit or human services setting, or experience related to program evaluation, • Strong knowledge and technical skills of statistical analysis techniques, querying languages, and supportive computer software packages (e.g. SQL, R, SPSS, or Python), • Experience with data visualization, information design, and/or workflow design using visualization tools such as Power BI (preferred), Tableau, Looker, Google Data Studio, etc.

Job DescriptionVoleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our market making strategies. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets. Voleon Securities is looking for creative, entrepreneurial researchers who enjoy grappling with very difficult problems. This is a chance to join the initial buildout of a fully modern securities business rooted in the frontier of AI/ML and statistics. We particularly welcome researchers with practical experience in optimal stochastic control, deep RL, deep learning, and causal inference. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. As a Member of Research Staff, you will work at the forefront of modern statistical machine learning. Your research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. Founded in 2007 by two leading scientists, Voleon supports a culture of curiosity, collegiality, and creativity. Your work will focus on financial market prediction and portfolio optimization. The behavior of financial markets is noisy and violates a number of classical statistical assumptions, and we’ve spent over a decade pioneering scientific advances in the application of machine learning techniques to this domain. You will work with a complex and diverse array of datasets to implement and iterate on predictive models. Predicting financial markets is an enduringly hard problem, but results are immediate and unambiguous. Years of academic training has prepared you for this moment. You won’t just conduct research, you’ll apply it on a daily basis, working with a team across the entire life cycle of applied research problems. Your work will span from basic research to productizing solutions and validating their efficacy in live trading.Responsibilities • Develop a rich understanding of Voleon’s challenges and methodologies and propose research innovations and experiments to build, maintain and optimize the models that govern our trading strategy, • Prepare and analyze new datasets to assess their predictive efficacy, • Develop, validate, and implement new models into production, • Design and conduct experiments to improve simulations and evaluate the success of new models in a live environment, • Communicate and collaborate effectively with other Members of Research Staff and Software Engineers at each stage, driving progress towards tangible outcomes, • Keep up to date on the latest academic research to identify novel approaches to explore for application to our domainRequirements, • Background in modern statistical methods and machine learning with a track record as an applied researcher, preferably with experience in at least one of the following: optimal control, deep RL, deep learning, and causal inference, • Hands-on experience building successful liquidity providing strategies across asset classes preferred but not required, • Evidence of strong mathematical abilities (e.g., publication record, graduate coursework, or competition placement), • Interest in software development techniques and willingness to write production-level code (Python), • Ability to solve large-scale computing problems, • Eagerness to work in a fast paced and growing business, • Interest in financial applications is essential, but prior finance industry experience is not a pre-requisite

Job DescriptionApplied AI Engineer Location: NYC Employment Type: Full-time On-site: 5 days/week in-office About the Role Our client, an AI-first company backed by top-tier investors, is looking for an Applied AI Engineer to join their team. They are building a platform that applies AI to every step of bringing new therapies to market, ensuring patients get life-changing treatments as quickly and affordably as possible. This role is a high-impact opportunity to work on real-world production use cases of LLMs and other ML techniques to solve complex business problems. This is a demanding role with a high level of autonomy. The client is looking for someone who can "act like an owner" and take end-to-end responsibility for projects, from initial definition and design through to launch and success. What You'll Do • Spearhead AI projects across the product, including classifications, data extraction, content generation, and building AI-powered bots., • Drive zero-to-one product development, from concept to production, in collaboration with go-to-market and operations teams., • Stay on top of emerging AI methods and make decisions about which models and techniques to use., • Establish research strategies and evaluation protocols for various AI methods., • Prototype and productionize AI functionality and agents, refining them with real-world feedback., • Participate in client engagements, working directly with customers to understand their needs and deliver innovative solutions., • Develop engineering processes and tools to support faster AI product development and scaling., • 0-15 years of experience as an AI Engineer, ML Engineer, or ML Research Engineer at a high-quality company or early-stage startup., • The client is looking for someone low-ego, hungry to learn, and excited about intense, impactful work., • This is an in-person role, with an expectation of being in the Soho, NYC office 5 days a week. Tech Stack • Python, • React, • TypeScript, • PostgreSQL, • Salary: $150k - $225k, • Equity: Competitive, • Visa sponsorship is available. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Exciting role, first of its kind, with a company that is rapidly expanding, wildly successful, and has been a disruptive force in a 50 billion dollar industry. They are the recipients of numerous awards, and have been the focus of several recent tech conferences, and exclusive partnerships with Facebook,. What you'll do: • Lead the ideation, technical development and launch of internal and external-facing data products, • Drive product development with the Data Engineering team, • Supercharge business's ability to execute by partnering with the company’s senior leadership (Product, Marketing, Sales, etc.), gathering business requirements and translating them into a prioritized, semi-annual data roadmap, • Define and implement a company-level data strategy including information architecture, ongoing audit and evaluation of data tools and definition of a data dictionary, • 6+ years as a Data Product Manager in the tech industry, • Subject-matter expertise in the most common languages and tools used across Data Science and Data Engineering (Python, ETL processes and tools, Segment, Amplitude, Looker, etc.), • 3+ years of experience in Kanban or Scrum, • 3+ years of experience influencing and managing stakeholder relationships across multiple cross-functional teams Opportunity to join a talented team, with leadership and a collection of people from the top shops in NYC. Great salary, equity, 401k, full benefits, lunch many of other perks.

Job Description Senior Java Developer – Equities Trading Systems MUST be local to New York City, Hybrid Schedule, at least 3 days onsite Salary: up to $200k No Sponsorship Available We are looking for a 100% hands-on Senior Java Developer to join our dynamic trading technology team. This role requires deep expertise in Java development, familiarity with modern front-end tools, and a strong grasp of trading workflows, especially in equities and derivatives. You will work closely with traders, sales, and other business users in a fast-paced environment, delivering high-performance solutions to support front-to-back trading operations. Experience with market protocols, OMS platforms, and financial products is required. Job Requirements • Strong core Java development expertise with a proven hands-on approach., • Solid understanding of front-end technologies, including HTML, CSS, JavaScript, and Vue.js., • Experience with Python is a plus., • Good understanding of equities and equity derivatives products., • Familiarity with trade flow processes and FIX protocol., • Experience with Quod OMS is a bonus., • Knowledge of Murex is a bonus., • Exposure to quantitative finance, especially in volatility, is a plus., • Strong academic background and/or substantial experience in the financial services industry., • Demonstrated ability to collaborate effectively with business users such as traders and sales teams., • Ability to multitask and thrive in a fast-paced, dynamic environment., • Highly organized, self-driven, and eager to learn and grow professionally.

Job Description Arrakis aims to disrupt the current market-making industry by providing the infrastructure to enable every project in the world that wants to launch a token to benefit from non-custodial, trust-less, and automated on-chain market-making strategies. We believe in a world where every organization, from a small startup to a large enterprise, will be tokenized and traded on-chain. For this world, Arrakis is building the tools to create the necessary liquidity to enable this token economy to rival and out-compete the traditional financial industry. As a Quantitative Analyst at Arrakis, you will be researching emerging DeFi innovation, develop POCs for market making strategies and tooling, drive our liquidity provisioning strategies, develop quantitative analyses of on-chain trading activities and own client relationships to deliver tailored market-making services. You'll also work with our business development team on client onboarding, account management and enhance our quantitative algorithms with the core development team. Your contributions will be vital in establishing Arrakis as the leading decentralised market-making protocol. What you’ll accomplish • Working with the leading DeFi projects in web3 to strengthen their on-chain liquidity, • Keep ahead of the latest developments in quantitative finance, blockchain technology, and Web3 innovations to continuously refine and adapt our market making strategies (Uniswap v3 / v4 for example) to maintain a competitive edge in the rapidly evolving web3 market-making industry, • Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists and business development representatives to refine, enhance and develop the best market making service to our clients, • Own customer relationships and provide excellent client service by monitoring the ongoing market-making activities and respond to custom client requests, • Research & Innovation: Conduct research on emerging DeFi protocols / innovations, identify next-generation trends, and develop POCs for innovative market making strategies and tooling. Our ideal candidate has: • At least 2 years professional experience in Trading, Quantitative Finance, Market Making (preferred), • Experience in Quantitative analysis and Data Science preferably on-chain data / DeFi, • Web3 native using DeFi protocols every day/week, • Experience working with JavaScript / TypeScript, SQL, Python / Rust, • Bonus: Rust, Dune Analytics, • Communications & Presentation Skills - feel comfortable to present in front mixed stakeholder audience, • Some experience with hands on software development in a quantitative finance environment, • Comfortable in fast-paced environments and having ambitious targets, • Excellent communication skills being able to engage in client relationship management and communication, • Well-organised with strong time management skills and a proactive personality Join an amazing team of industry veterans focused on revolutionising web3 market making, collaborating with major projects like MakerDAO, Uniswap, Aave, Lido, operating fully remotely with members spanning Zug, Paris, New York, Berlin supported by world-class investors including Uniswap Labs, Robot Ventures, Accel, Longhash, and more. What we offer: • Competitive salary, • Work remotely or with the Founders in person, in Switzerland, • Chance to travel the world to go to exciting events, connecting with key industry players, • Join amazing in-person offsites all over the world

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityData is core to Radical AI's mission and as a Data Engineer, you'll collaborate with cross-functional teams (software, ML, materials science) to build robust data solutions. You will be directly involved in designing, building and maintaining infrastructure to support agentic workflows for our AI materials design engine, as well as maturing our existing data infrastructure that relates to our autonomous lab. In this you'll create a best-in-class system to accelerate Radical AI's ability to develop the next evolution of scientific progress and get to work at the intersection of cutting edge models, autonomous experimentation, and materials science. As a foundational member of the team, you'll have the opportunity to shape the standards, culture, and values of the data engineering team.Mission • Work side by side with AI researchers and engineers, shaping the next generation of autonomous systems for materials discovery., • Own the end-to-end planning, execution, and delivery of largescale data initiatives., • Drive a continuous improvement culture through retrospectives, process streamlining, and lean execution experiments., • Help define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making within scientific discovery., • Design and implement data pipelines connecting our autonomous lab with operational and product systems, including our AI-driven discovery engine., • Build and support scalable, audit-proof architecture., • Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains., • Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.About you, • B.S. or M.S. in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience., • 6+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets., • Strong background in computer science: algorithms, data structures, system design and data modeling., • Strong Python and/or Go skills and and experience deploying production-grade code (not just notebooks)., • Experience with relational SQL/NoSQL databases and data lakehouse/warehouse frameworks (e.g., BigQuery, Snowflake, Redshift, Databricks)., • Experience with data pipeline frameworks (e.g., Beam, Spark, Kafka, Pulsar, etc.), modern data orchestration frameworks (e.g., Dagster, Prefect), and cloud-native storage (e.g., S3, ADLS)., • Experience with large scale distributed system design, operation and optimization., • Experience with lightweight, embedded analytical databases (e.g., Duckdb, SQLite)., • Proficient at scaling up and managing high-volume document ingestion pipelines., • An experimental mindset: comfortable testing hypotheses, learning from failures, and iterating quickly; doesn’t shy away from problems with no right answer., • Proven ability to scope ambiguous problems, develop end-to-end solutions, and communicate outcomes effectively.Pluses, • Experience with vector databases (e.g. Pinecone, pgvector, Qdrant, TurboPuffer, etc.)., • Knowledge of or experience with aagentic processes and/or frameworks (e.g., LangChain, CrewAI, PydanticAI, AutoGen, etc.)., • Demonstrated experience with LLMOps (e.g., Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, etc.) Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.Job Summary: Gametime seeks a Senior Backend Engineer for the Tools and Automation team. This team builds the technology that powers and scales the operations behind our marketplace - making the processes that keep Gametime running fast, reliable, and efficient. This position is for a senior individual contributor (IC3) who delivers high-quality systems and tools with a strong sense of ownership and technical craftsmanship. You'll design and build software that simplifies complex workflows, automates manual processes, and enables internal teams to move faster and smarter. You'll collaborate closely with Engineering, Design, Product, and Operations to build and extend both traditional and AI-driven automation solutions. The ideal candidate combines solid engineering fundamentals with curiosity, initiative, and a bias for improving how things work - not just delivering what's asked. Key Responsibilities: • Design and deliver automated workflows that deeply understand and reimagine manual operations. Partner with ops and product teams to map complex workflows, identify bottlenecks, and reinvent them through thoughtful automation—freeing teams to focus on higher-order tasks and strategic initiatives., • Own foundational systems that expose the best capabilities to compose into automated workflows. Ensure these systems are reliable, observable, and easy to extend as business needs evolve., • Design and build APIs with first principles, enabling composable, predictable, and scalable integrations across Gametime's ecosystem., • Build, test, instrument, and monitor systems that power the processes behind the scenes of the Gametime marketplace., • Demonstrate domain ownership by identifying and advocating for improvements or automation opportunities that align with the company's strategic objectives., • Support and enable teammates through pair programming sessions, design reviews, ideation, and code reviews to strengthen team-wide engineering quality., • Leverage AI-assisted tools and automation frameworks (e.g., AI Code Gen, LLM-based helpers) to accelerate delivery while maintaining quality, clarity, and maintainability., • Apply AI and LLM solutions thoughtfully—use them where they create genuine leverage in automation or insight, and avoid them where traditional engineering solutions are more effective., • Collaborate cross-functionally to understand operational pain points and design solutions that balance human judgment with automated efficiency., • Automation and Workflow Systems: Demonstrated ability to build and maintain workflow automation and orchestration systems that streamline operational processes. Experience with platforms such as Temporal or Amazon SWF is a plus., • Backend Development: Proficient in designing and developing reliable backend systems using Golang (or Python, Ruby, Java, C++, C#, Rust, Scala, etc.), with strong fundamentals in testing, observability, and performance optimization., • System Design: Skilled in designing distributed systems focused on scalability, performance, reliability, and maintainability. Can reason about tradeoffs in consistency, throughput, and fault tolerance., • API Development: Experienced in building and maintaining well-structured, versioned APIs that enable composable automation and integration across internal and external systems., • Event-Driven Systems: Familiar with message-driven architectures and tools such as Kafka, RabbitMQ, or similar, enabling decoupled and reactive automation workflows., • Databases: Solid understanding of both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) data models, including schema design and query optimization for automation workloads., • AI-Driven Automation (Emerging Skill): Growing familiarity with leveraging AI-assisted tools (e.g., Cursor, Copilot, ChatGPT) and understanding when AI or LLM-powered automation provides strategic value versus traditional engineering approaches., • Tools and Internal Platforms: Experience developing tools and automation systems that improve efficiency across engineering, operations, and product teams.Interpersonal Skills:, • Problem Solving: Demonstrates strong critical thinking and decision-making abilities, especially in situations that have nuanced workflows and systems., • Education: Bachelor's Degree in Software Engineering or related field., • Experience: 5+ years of experience building and engineering software.Preferred Qualifications:, • Experience: Building LLM or AI powered solutions; working with workflow automation platforms; Temporal or other workflow orchestration tools.What We Can Offer:, • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job DescriptionSalary: $150,000-$200,000 About Us Perform Properties is a best-in-class, diversified real estate operating platform with expertise in high-quality, grocery anchored shopping centers and premier office assets. Perform is positioned to create more engaging experiences for customers, deliver long-term value for tenants, and drive stronger performance across its portfolio. Perform has expertise in transactions, development, leasing, and management, and benefits from a multi-sector focus, data driven strategy, and national reach. The company focuses on properties with People-Appealdynamic spaces where people and businesses actively choose to work, shop, and gather, enhancing the communities around them. Formed through the combination of ShopCore, ROIC, and EQ Office, Perform Properties leverages the shared experience, scale, and operational strengths of three leading organizations. Role Summary Were looking for a Quantitative Researcher to join our Data & Research team. This role is essential to help us uncover insights through statistical modeling, predictive analytics, and data-driven storytelling. Youll work closely with a collaborative team that values intellectual curiosity, clear communication, and creative problem-solving. This role exists to support the Data & Research teams mission: to build statistical models that uncover meaningful insights and drive smarter decisions. If youre passionate about data, eager to learn, and enjoy turning complex information into clear, actionable stories, wed love to hear from you. This role reports to the Head of Data & Research and is based in the office, 5 days a week. Essential Job Functions Youll be responsible for organizing and cleansing datasets to ensure they are ready for use in econometric models, machine learning applications, and data visualizations. Another key task will be using visualization tools like PowerBI and Sigma to create the compelling, high-impact dashboards that will bring our research to life. As a member of the Data & Research team, you will help create a quarterly slide deck assessing macro trends, industry hot topics, and portfolio analytics with a focus on the Retail and Office sectors. Youll also maintain our SharePoint site and automate data updates for our standard quarterly PowerPoint presentations, ensuring our materials are always fresh and accurate. In addition to hands-on data work, youll help manage relationships with external data vendors, study emerging data and share your findings with your team. Qualifications and Technical Competencies 3-5 years of experience in data research and quantitative analysis Experience building forecast models for predictive analytics Intermediate-to-advanced coding and coding library searches (ex. Python) Data visualization (PowerBI, Sigma) Expert proficiency in Microsoft applications (Excel, PowerPoint, PowerBI, SharePoint, Teams) Benefits & Compensation Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO). Base Salary Range: $150,000-$200,000. This represents the presently-anticipated low and high end of the Companys base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience. The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility. Closing EEO Statement Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email #LI-Onsite

Job DescriptionTagup is a defense technology company founded at MIT that is redefining logistics superiority with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow. We are searching for a passionate Front-End Engineer to join our Software Engineering team and lead front-end engineering on our core software product. You'll work closely with our data scientists and product design team to translate ideas into captivating, interactive experiences. We work with extraordinary data sets: enormous volumes and varieties. This data needs to be effectively conveyed to users—all via a compelling front-end React application. We're looking for a hungry, fast-learning individual to spearhead this effort.Responsibilities • Collaborate extensively with the product design team to bring wireframes and visual designs to life as compelling React applications., • Write clean, modular, well-documented, and reusable React code, prioritizing efficient development and deployment., • Leverage your React expertise to create performant and pixel-perfect user interfaces., • Adhere to cross-browser compatibility best practices while maintaining a focus on user experience consistency across different platforms.Desired Skills, • 2+ years of professional experience using React and its ecosystem (Redux, etc.), • In-depth knowledge of JavaScript fundamentals, including asynchronous programming, closures, and modern ES6+ features., • Strong understanding of state management solutions in React applications., • Experience with performance optimization techniques for web applications., • Experience building reusable UI components with a focus on maintainability and scalability., • Excellent communication and collaboration skills to work effectively with designers, engineers, and other stakeholders., • Passion for learning new technologies and staying up-to-date with the latest trends in front-end development.Bonus Points, • Experience writing unit and integration tests for React components., • Experience working with data visualization libraries like D3, Vega, or similar tools., • Prior experience with server-side technologies (especially Python development) is a plus. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We’re looking for a technically strong builder to help us create custom AI/GPT workflows and automations across our business. You’ll take our internal workflow ideas and translate them into working tools using ChatGPT, APIs, and data integrations (Google Sheets, ERP systems, CRMs, etc.). This is not a research role — it’s about practical implementation. You’ll be the person who can make ideas real. Responsibilities • Build and maintain custom GPTs, prompts, and workflows., • Connect GPTs to internal systems via APIs (Google Sheets etc.)., • Automate repetitive business processes and reporting., • Translate workflow diagrams/ideas into technical solutions., • Strong knowledge of Python or JavaScript., • Experience with APIs, webhooks, and JSON., • Comfortable with automation tools (Zapier, Make, LangChain, or similar)., • Experience working with structured data (Excel/Sheets, databases)., • Familiarity with OpenAI API or other LLMs., • UI/UX basics (can build simple dashboards/interfaces)., • A practical problem-solver who likes making things work quickly., • Curious and able to learn new tools fast., • Comfortable working in a fast-moving business with evolving priorities.

Job DescriptionSenior Python Engineer | $110,000 - $160,000 per year| Direct Hire – Onsite What Matters Most: • Competitive Pay: $110,000 - $160,000 per year, • Schedule: Full-time, Direct Hire, • Opportunity to work closely with technology leadership on key projects, • Organization that is experiencing rapid growthJob Description: Become a key contributor to growth and modernization as a Senior Full Stack Python Engineer in this dynamic and expanding team in the New York City, NY metro. We're seeking a talented individual with a strong passion for building robust and scalable applications using Python, coupled with expertise in PostgreSQL and AWS container services. In this role, you'll play a vital part in shaping the future of our annuity, insurance, and finance operations by automating investment management systems and collaborating on innovative solutions. If you're ready to leverage your skills and thrive in a supportive environment that values teamwork and fresh perspectives, we encourage you to explore this exciting opportunity. Responsibilities:, • Design, develop, and deploy robust and scalable full-stack applications using Python., • Work extensively with PostgreSQL databases, including schema design, query optimization, and data management., • Utilize AWS container services (e.g., ECS, EKS) for efficient and reliable application deployment and scaling., • Collaborate closely with product managers, designers, and other engineers to define and implement new features and improvements., • Participate in code reviews to ensure code quality and maintainability., • Troubleshoot and resolve production issues in a timely and efficient manner., • Contribute to the continuous improvement of our development processes and tools. Qualifications and Requirements:, • Bachelor's degree in Computer Science or a related field, • Proven experience as a Full Stack Engineer with a strong focus on Python development and modern front-end technologies., • Solid understanding of relational database principles and hands-on experience with PostgreSQL., • Experience deploying and managing applications within AWS container environments., • Background working in the annuity, insurance and/or finance industry with a track history of automating investment management systems., • Proficiency in data analytics and visualization tools is a plus., • Excellent problem-solving, analytical, and communication skills., • A proactive and collaborative approach to work.Benefits and Perks:, • $110,000 - $160,000 base salary, • Medical, Dental and Vision benefits, • 401(k) Your New Organization: Be a driving force in growth and modernization! This collaborative team in the Indianapolis, IN metro is expanding, and looking for individuals who want to make a real impact. You'll find both stability and exciting avenues for professional development in an environment that champions teamwork and fresh ideas. Your Career Partner: The Reserves Network, a veteran-founded and family-owned company, specializes in connecting exceptional talent with rewarding opportunities. With extensive industry experience, we are dedicated to helping you achieve your professional goals and shine in your field. The Reserves Network values diversity and encourages applicants from all backgrounds to apply. As an equal-opportunity employer, we foster an environment of respect, integrity, and trust in every aspect of employment. The base salary range for this position is $110,000 - $160,000, excluding benefits, bonuses, or other compensation. Your final salary will depend on your skills, qualifications, experience, location, and internal pay equity. Please note, hiring at the top of the range is uncommon to allow room for future salary growth.

Job DescriptionVoleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multi-billion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced finance and technology professionals. You will be working with strategies that are at the forefront of machine learning and statistical trading. The strategies have been carefully designed to generate non-correlated returns. Our firm and its strategies are the product of many years of meticulous research and craftsmanship, and you will lead the way in stewarding them for the future. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, unparalleled access to our experts and founders, and more. The Trading Operations group at Voleon sits at the crossroads of finance and applied science, collaborating with research and other production staff to supervise and improve systematic trading strategies. The team ensures that the outputs of our research efforts are successfully implemented in the real world. Domains of contribution include algorithmic execution, securities lending, and market expertise across a variety of asset classes and markets. As a Quantitative Trading Strategist Lead, you will use deep markets knowledge alongside quantitative skills to lead a team tasked with improving the implementation of systematic trading strategies. Domains include improving algorithmic execution, securities lending, and portfolio financing across a variety of asset classes and markets. You will report to the Head of Trading, and work at the intersection of trading and research on problems that require market domain expertise but also statistical and quantitative rigor.Responsibilities • Lead a small team of high-caliber Quantitative Trading Strategists and Data Scientists, • Measure and improve algorithmic execution quality across asset classes, • Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams, • Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications, • Collaborate with trading and RnD team members to improve our trading strategies, • Provide domain expertise in market microstructure across asset classes to other members of trading and RnD, • Manage relationships with external brokers and trading partnersRequirements, • 5+ years of experience in a quantitative trading environment, • Bachelor’s degree in a scientific or quantitative discipline, • Management experience is not required, • Highly capable in python, R, and SQL; with the ability to write production level code and develop across teams, • Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data, • Comprehensive understanding of market micro-structure and a passion for markets #LI-JA1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.